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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 3374
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    Explanations

    descriptions of people sitting or located in different places

    oai_token-act-pair · gpt-3.5-turbo

    instances of sitting and resting in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.76
    acity
    -0.69
    embed
    -0.69
    ItemImage
    -0.67
    dimension
    -0.66
    alties
    -0.66
    ierce
    -0.65
    д
    -0.64
    inez
    -0.63
    ģ«
    -0.63
    POSITIVE LOGITS
     sofa
    1.36
     chair
    1.28
     couch
    1.27
     chairs
    1.22
     throne
    1.16
     seiz
    1.15
     bench
    1.12
     table
    1.10
     desk
    1.10
     stool
    1.05
    Activations Density 0.179%

    No Known Activations